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USE LIDAR

All podcast episode summaries matching USE LIDAR โ€” aggregated across every podcast we track.

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โ€œThere is this misconception that if you just keep improving driver-assist systems, they will eventually wake up as fully autonomous robotaxis. That's not how it works; the architectural requirements for a system that requires no human fallback are fundamentally different from one that relies on a human to pay attention. You can't just bridge that gap with more data; you need a different foundation.โ€

โ€” Dmitri Dolgov
Good interview shows
MAR 24, 2026Stripe
  • โ€ข

    Waymo scales to 500,000 weekly rides across 10 cities

    โ€œWe are now at the point where we are doing nearly 500,000 paid rides every single week across 10 different cities. This isn't just a science experiment anymore; it's a massive global scaling operation where we've moved from the lab to the streets in a way that is repeatable and safe across diverse urban environments.โ€

    โ€” Dmitri Dolgov
  • โ€ข

    Lidar remains essential for robust autonomous sensor stacks

    โ€œPeople often ask if you can do this with just cameras, but our stance is that Lidar provides a level of redundancy and precision that you simply cannot ignore. When you are operating a multi-ton vehicle in a complex urban environment, having that direct depth perception and 360-degree awareness is the difference between a research project and a reliable commercial service.โ€

    โ€” Dmitri Dolgov
  • โ€ข

    Supervised driving systems won't evolve into full autonomy

    โ€œThere is this misconception that if you just keep improving driver-assist systems, they will eventually wake up as fully autonomous robotaxis. That's not how it works; the architectural requirements for a system that requires no human fallback are fundamentally different from one that relies on a human to pay attention. You can't just bridge that gap with more data; you need a different foundation.โ€

    โ€” Dmitri Dolgov
  • โ€ข

    Simulation and critic models accelerate AI training safety

    โ€œWe use a combination of Simulation and what we call 'Critic' models to train our AI drivers. This allows us to run billions of miles in a virtual environment where we can test the most extreme edge cases that you might only see once every hundred years in the real world, ensuring the system knows how to react before it ever hits the pavement.โ€

    โ€” Dmitri Dolgov
  • โ€ข

    Custom vehicle designs prioritize passenger-centric living rooms

    โ€œOur new custom-built vehicle is a total departure from traditional car design because it doesn't need a steering wheel or pedals. We've designed it from the ground up to feel like a mobile living room, focusing entirely on the passenger experience, comfort, and utility rather than the mechanics of driving.โ€

    โ€” Dmitri Dolgov
Startups & Tech
MAR 24, 2026Stripe
  • โ€ข

    Waymo scales to 500,000 weekly rides across 10 cities

    โ€œWe are now at the point where we are doing nearly 500,000 paid rides every single week across 10 different cities. This isn't just a science experiment anymore; it's a massive global scaling operation where we've moved from the lab to the streets in a way that is repeatable and safe across diverse urban environments.โ€

    โ€” Dmitri Dolgov
  • โ€ข

    Lidar remains essential for robust autonomous sensor stacks

    โ€œPeople often ask if you can do this with just cameras, but our stance is that Lidar provides a level of redundancy and precision that you simply cannot ignore. When you are operating a multi-ton vehicle in a complex urban environment, having that direct depth perception and 360-degree awareness is the difference between a research project and a reliable commercial service.โ€

    โ€” Dmitri Dolgov
  • โ€ข

    Supervised driving systems won't evolve into full autonomy

    โ€œThere is this misconception that if you just keep improving driver-assist systems, they will eventually wake up as fully autonomous robotaxis. That's not how it works; the architectural requirements for a system that requires no human fallback are fundamentally different from one that relies on a human to pay attention. You can't just bridge that gap with more data; you need a different foundation.โ€

    โ€” Dmitri Dolgov
  • โ€ข

    Simulation and critic models accelerate AI training safety

    โ€œWe use a combination of Simulation and what we call 'Critic' models to train our AI drivers. This allows us to run billions of miles in a virtual environment where we can test the most extreme edge cases that you might only see once every hundred years in the real world, ensuring the system knows how to react before it ever hits the pavement.โ€

    โ€” Dmitri Dolgov
  • โ€ข

    Custom vehicle designs prioritize passenger-centric living rooms

    โ€œOur new custom-built vehicle is a total departure from traditional car design because it doesn't need a steering wheel or pedals. We've designed it from the ground up to feel like a mobile living room, focusing entirely on the passenger experience, comfort, and utility rather than the mechanics of driving.โ€

    โ€” Dmitri Dolgov

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